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Indicators of road network vulnerability to storm-felled trees
Karlstad University, Faculty of Health, Science and Technology (starting 2013). (Centrum för klimat och säkerhet)
Karlstad University, Faculty of Health, Science and Technology (starting 2013). (Centrum för klimat och säkerhet)
2013 (English)In: Natural Hazards, ISSN 0921-030X, E-ISSN 1573-0840, Vol. 69, no 1, 185-199 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, we exemplify the use of simple indicators of wind storm vulnerability of the road network that can be derived from existing geographic datasets. We point out the possible utilization of the datasets, applying GIS techniques, for highlighting road sections that, due to adjacency of high forest stands, are sensitive to closure by stormfelled trees. Indicators reflecting the reduced access to different areas or to the population in need of emergency aid can be derived based on the parameter tree height along roads and road network analysis. As a case in this study, the methodology is applied to elderly people (?80 years) with possible need of daily care at home following a severe storm. A comparison to the extreme 2005 storm felling in southern Sweden reveals that only limited estimates of road network disruption due to storm-felled trees are possible using the indicators, as other factors, for example, wind direction, which determine the exact impact of a particular storm are not taken into account. However, the indicators and network analysis also provide a possibility to draw attention to locations where disruptions of the road network would have significant effects on the accessibility to large surrounding areas. Potential critical road closures can be identified and preventive measures considered locally at these points.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2013. Vol. 69, no 1, 185-199 p.
Keyword [en]
Indicator, GIS, Storm, Risk, Road network vulnerability
National Category
Natural Sciences Human Geography
Research subject
URN: urn:nbn:se:kau:diva-28974DOI: 10.1007/s11069-013-0693-zISI: 000325101100010OAI: diva2:646568
Available from: 2013-09-09 Created: 2013-09-09 Last updated: 2016-01-26Bibliographically approved

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Nyberg, RolfJohansson, Magnus
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